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Pattern and Semantic Similarity Based Automatic Extraction of Hyponym-Hypernym Relation from Turkish Corpus

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dc.contributor.authorSahin, Gurkan
dc.contributor.authorDiri, Banu
dc.contributor.authorYildiz, Tugba
dc.date.accessioned2026-06-27T13:54:34Z
dc.date.issued2015
dc.description.abstractExtraction of semantic relations from various resources (Wikipedia, Web, corpus etc.) is an important issue in natural language processing. In this paper, automatic extraction of hyponym-hypernym pairs from Turkish corpus is aimed. For extraction of hyponym-hypernym pairs, pattern and semantic similarity based methods are used together. Patterns are extracted from initial hyponym-hypernym pairs and using patterns, hyponyms are extracted for various hypernyms. Incorrect candidate hyponyms are removed using document frequency and semantic similarity based elimination methods. After experiments for 14 hypernyms, average accuracy of 77% was obtained.en
dc.identifier.endpage677
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage674
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55574
dc.identifier.wos000380500900148
dc.language.isotur
dc.publisherIEEE
dc.relation.conference23nd Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectpattern based approach
dc.subjecthyponym-hypernym relation
dc.subjectsemantic similarity
dc.subjectassociation measure
dc.subjectEngineering
dc.subjectTelecommunications
dc.titlePattern and Semantic Similarity Based Automatic Extraction of Hyponym-Hypernym Relation from Turkish Corpus
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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